Electrochemical and Optical Multi-Detection of Escherichia coli Through Magneto-Optic Nanoparticles: A Pencil-on-Paper Biosensor
<i>Escherichia coli (E. coli)</i> detection suffers from slow analysis time and high costs, along with the need for specificity. While state-of-the-art electrochemical biosensors are cost-efficient and easy to implement, their sensitivity and analysis time still require improvement. In this work, we present a paper-based electrochemical biosensor utilizing magnetic core-shell Fe<sub>2</sub>O<sub>3</sub>@CdSe/ZnS quantum dots (MQDs) to achieve fast detection, low cost, and high sensitivity. Using electrochemical impedance spectroscopy (EIS) as the detection technique, the biosensor achieved a limit of detection of 2.7 × 10<sup>2</sup> CFU/mL for <i>E. coli</i> bacteria across a concentration range of 10<sup>2</sup>-10<sup>8</sup> CFU/mL, with a relative standard deviation (RSD) of 3.5781%. From an optical perspective, as <i>E. coli</i> concentration increased steadily from 10<sup>4</sup> to 10<sup>7</sup> CFU/mL, quantum dot fluorescence showed over 60% lifetime quenching. This hybrid biosensor thus provides rapid, highly sensitive <i>E. coli</i> detection with a fast analysis time of 30 min. This study, which combines the detection advantages of electrochemical and optical biosensor systems in a graphite-based paper sensor for the first time, has the potential to meet the needs of point-of-care applications. It is thought that future studies that will aim to examine the performance of the production-optimized, portable, graphite-based sensor system on real food samples, environmental samples, and especially medical clinical samples will be promising.
Authors
- Derya Dinçyürek Ekici
- Furkan Soysaldı
- Evren Mutlugün (ORCID: https://orcid.org/0000-0003-3715-5594)
- Mehmet Çağrı Soylu (ORCID: https://orcid.org/0000-0001-5213-2679)
Institutions
- Nevşehir Hacı Bektaş Veli University (TR)
- Bilkent University (TR)
- Sensors (United States) (US)
- Erciyes University (TR)
- Abdullah Gül University (TR)
Publication Details
- Journal
- Biosensors
- Published
- 2024-12-10
- DOI
- https://doi.org/10.3390/bios14120603
- Citations
- 5
- Primary Topic
- Biosensors and Analytical Detection
- Type
- article
- Field-Weighted Citation Impact
- 0.92
Funders
- Türkiye Bilimsel ve Teknolojik Araştırma Kurumu